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The Rover Learned Only What the Route Needed

Task-weighted information gathering improved simulated goal arrival by up to 27.4 percentage points.

Published Updated Story ID: mp-2026-09-20-012
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Summary

Task-weighted information gathering improved simulated goal arrival by up to 27.4 percentage points.

Task-Oriented Information Acquisition scores observations by how much they would reduce later uncertainty along the same model-predictive-control rollout, then weights that value by relevance to the mission. It reuses the controller’s existing rollout batch without imagining future observations or repeatedly optimizing hypothetical updates. Across held-out simulated off-road maps, it improved goal-reaching over passive residual learning by 19.3 and 27.4 percentage points and ran online at 20 hertz on an RTX 2080 Ti. The evidence is simulation-only and depends on the tested Gaussian-process residual model.

Why it matters

Task-weighted information gathering improved simulated goal arrival by up to 27.4 percentage points.

Limits and context

  • The evidence is simulation-only and depends on the tested Gaussian-process residual model.

Key claims

  1. Task-weighted information gathering improved simulated goal arrival by up to 27.4 percentage points.

    Qualification: The evidence is simulation-only and depends on the tested Gaussian-process residual model.

    Evidence: source-2026-09-20-012

Sources

  1. arXiv preprint 2609.19378arXiv · primary research

Corrections

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